Gemini 2.0 Flash vs Llama 3.1 405B

Compare Gemini 2.0 Flash and Llama 3.1 405B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature Gemini 2.0 Flash Llama 3.1 405B
CategoryFastOpen Source
Parameters~100B405B
Context Window1M128K
Input Price$0.01/1M tokens$0.08/1M tokens
Output Price$0.04/1M tokens$0.14/1M tokens
Latency~150ms~600ms

Choose Gemini 2.0 Flash when:

  • ✓ Budget apps
  • ✓ High-volume processing
  • ✓ Simple Q&A
Key Strengths:

Very low cost, 1M context, Proven reliability

Choose Llama 3.1 405B when:

  • ✓ Premium tasks
  • ✓ Research
  • ✓ Fine-tuning base
Key Strengths:

Largest open model, Highest open-source quality

Verdict: Gemini 2.0 Flash vs Llama 3.1 405B

For cost efficiency, Gemini 2.0 Flash wins at $0.01/1M input tokens. For speed, Gemini 2.0 Flash is faster at ~150ms. Gemini 2.0 Flash excels at Budget apps while Llama 3.1 405B is better for Premium tasks. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

Gemini 2.0 Flash costs $0.01/1M input tokens and $0.04/1M output tokens. Llama 3.1 405B costs $0.08 input and $0.14 output. Gemini 2.0 Flash is 8.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

Gemini 2.0 Flash has a 1M context window with ~150ms latency. Llama 3.1 405B offers 128K context at ~600ms. Gemini 2.0 Flash has the larger context window.

Best For

Gemini 2.0 Flash (Fast) is optimized for: Budget apps, High-volume processing, Simple Q&A. Llama 3.1 405B (Open Source) works best for: Premium tasks, Research, Fine-tuning base.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use Gemini 2.0 Flash
response_a = client.chat.completions.create(
    model="gemini-2-0-flash",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use Llama 3.1 405B
response_b = client.chat.completions.create(
    model="llama-3-1-405b",
    messages=[{"role": "user", "content": "Your question here"}]
)

Start Building with XALEN

200+ AI models. One API. Pay-as-you-go.

Get API Key Try in Playground

Frequently Asked Questions

Which is better, Gemini 2.0 Flash or Llama 3.1 405B?

Gemini 2.0 Flash (Fast, ~100B) offers Very low cost. Llama 3.1 405B (Open Source, 405B) offers Largest open model. Choose Gemini 2.0 Flash for Budget apps or Llama 3.1 405B for Premium tasks.

How much does Gemini 2.0 Flash cost vs Llama 3.1 405B?

Gemini 2.0 Flash: $0.01/1M input, $0.04/1M output. Llama 3.1 405B: $0.08/1M input, $0.14/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Gemini 2.0 Flash and Llama 3.1 405B by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.